About the Role

TailorCare is a value-based musculoskeletal (MSK) care platform combining clinical expertise, digital tools, and a yield-based operating model. We are now operationalizing Operating Model 3.0, a shift from uniform delivery to yield-based alignment, in which every patient receives investment proportional to a real-time Yield Score (Probability × Value × Addressability), and an ROI Gate continuously calibrates Wallet (financial investment) and Muscle (operational intensity).

This requires a data and AI platform that ingests, resolves, scores, decides, and acts in minutes, with the explainability and governance healthcare demands. You will lead that build: set the strategy, design the data platform, drive vendor decisions, and partner with engineering, product, clinical, and operations leadership to deliver it. This is a hybrid strategy-and-architecture role; you will move comfortably from a CTO whiteboard conversation to an EDI 837 parser to a model-evaluation review without losing the thread.

Primary Responsibilities

• Set strategy. Own the multi-year data strategy supporting Operating Model optimization and TailorCare’s extension beyond MSK; frame tradeoffs for the executive team; protect strategic data moats (canonical patient and provider graphs, proprietary outcome labels, and contribute to yield-calibrated decisioning IP)
• Architect the platform end-to-end. Ingestion, event bus, identity resolution, lakehouse, feature store, ROI Gate decisioning, action orchestration, observability. Define the event taxonomy, schema registry, and data contracts that govern how every source flows in
• Lead vendor strategy. Evaluate and select across clearinghouses, clinical networks, claims systems, provider intelligence, conversational AI, CDPs, and more, negotiating export rights, schema stability, and contribute to defining BAA scope. Build payer-neutral patterns from day one
• Set the bar for HIPAA, PHI, and AI governance. Classification at ingestion, field-level access controls, infrastructure-level scrubbing, vendor data governance, training-data lineage, and consent chains.
• Partner across functions. Translate architecture into staffed delivery with each engineering team; collaborate with clinical leadership on Patient Reported Outcome, extraction accuracy, and outcome labels; work with operations to make the intake and data aggregation meaningful.
• Other duties as assigned

Qualifications

• 10+ years working with healthcare data, including 4+ years in architecture or strategy leadership
• Deep hands-on knowledge of healthcare data: X12 EDI (270/271/276/277/278/834/835/837), FHIR R4, HL7 v2 (especially ADT), CCD/C-CDA, NCPDP, and the realities of integrating with payers, EHRs, clearinghouses, and HIEs
• Experience working with AI team developing predictive models and ability to act as the liaison between AI modeling and data platform.
• Proven track record designing production data platforms at scale, streaming and batch, with managed Kafka or equivalent, lakehouse architectures (Snowflake / Databricks / BigQuery), dbt-style orchestration, modern observability
• Solid grounding in ML/AI systems: feature stores, point-in-time correctness, model lifecycle, NLP for clinical text. You evaluate model proposals on their merits
• Direct experience with patient identity resolution (deterministic + probabilistic) and tokenization (Datavant or equivalent)
• Working knowledge of value-based care economics: MLR, attribution, episode costing, risk adjustment, and how reimbursement models shape data requirements
• Demonstrated executive presence: framing tradeoffs, defending recommendations, adjusting when wrong, staying technically credible
• HIPAA-fluent. You engineer PHI minimization, BAA structures, and audit requirements as first-class concerns
• Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events.

Preferred Qualifications

• Hands-on experience with at least one major longitudinal claims dataset (Komodo, Truveta, HealthVerity, Optum, IQVIA) and integration
• Highly collaborative and experienced with a broad range of business holders
• Experience integrating clinical data networks
• Experience with conversational AI in a contact-center context (Cresta, Observe.AI, or built in-house)
• Multi-payer scale experience
• Early-stage / scaling startup background, comfort with ambiguity and the ability to make calls without perfect information

What you will deliver in year one

• Be a key leader in driving build vs. buy data acquisition decisions
• Canonical patient master service in production; ≥95% deterministic match rate, documented probabilistic strategy
• Real-time event bus with ≥10 production event types, SLO dashboards, and downstream consumers live
• Real-time ADT, eligibility (270⁄271) and prior-auth (278) integrations live with sub-second response
• Salesforce (TailorCare-captured) clinical operational data fully instrumented
• Clinical data network integration (Health Gorilla or Particle) with NLP extraction on radiology and specialist notes
• ROI Gate v1 deployed, routing ≥80% of newly-identified patients; closed-loop attribution from marketing to outcome operational

What’s In It For You

• Meaningful Work: We are dedicated to our mission and deeply value our patients and each other. Each day offers the opportunity to make a positive impact.
• Work Environment: We operate as a remote-first company with options for a hybrid work model in Nashville.
• Time Off: Our generous paid time off (PTO) and holiday plans ensure you have ample time to rest and recharge.
• Family First: We offer paid parental leave and support a healthy work-life balance, encouraging flexibility and autonomy. We love talking about our family and pets!
• Comprehensive Benefits: From Day 1, employees enjoy medical, dental, vision, life, and disability insurance, wellness resources and an employer HSA contribution.
• Fair Compensation: We are committed to equitable pay for all team members and support your future goals with a 401k plan that includes employer matching.
• Community: We foster an inclusive environment where you can rely on your teammates, share honest feedback, and feel comfortable being your authentic self at work each day.

TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit’s relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of “relevance” spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds and Search ML teams to tackle the most complex ranking, recommendation, and retrieval challenges across Consumer. You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product strategy through rigorous analysis and experimentation.

Responsibilities

• Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment
• Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction
• Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities, interference between contributors and consumers, and long-run impacts of ranking changes on content supply
• Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly around content quality, search intent understanding, and personalization effectiveness
• Partner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact
• Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives into clear, actionable recommendations for senior leadership
• Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor
• Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader relevance, recommendation systems, and experimentation community

Required Qualifications

• Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranking, causal inference, or evaluation methodology; or M.S. with equivalent depth of expertise
• For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
• Deep expertise in metrics design and evaluation for ranking and recommendation systems, including offline metrics and counterfactual evaluation
• Strong understanding of causal inference and experimentation methodology, including practical experience with challenges relevant to ranking systems such as novelty effects, position bias, long-run effect estimation, and ecosystem-level impacts
• Experience defining and validating quality metrics for content ranking, search, or recommendations at scale
• Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, and sequential testing as applied to relevance experiments
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
• Demonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience
• Excellent communication skills with the ability to explain nuanced statistical and ML concepts and tradeoffs to both technical and non-technical senior stakeholders
• Experience mentoring data scientists and building organizational capability in relevance evaluation and experimentation
• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications

• Published research or industry contributions in areas recommendation systems or causal inference for ranking
• Experience with social network or user-generated content platforms where community-level dynamics create non-trivial relevance and experimentation challenges

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-REMOTE

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$232,500—$325,500 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit’s experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis.

Responsibilities:

• Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment
• Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation
• Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches
• Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates
• Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous
• Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams
• Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership
• Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor
• Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community

Required Qualifications:

• Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise
• For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation-focused roles
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles
• Deep expertise in causal inference, including practical experience with challenges such as network interference / spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods
• Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections
• Experience with experimentation platforms at scale (e.g., building or significantly extending an internal experimentation platform)
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
• Track record of designing and analyzing experiments at scale in complex or networked environments
• Demonstrated ability to influence product and organizational strategy through experimentation insights
• Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way
• Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior stakeholders
• Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning
• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications:

• Published research or industry contributions in areas such as interference in experiments, network experimentation, or marketplace causal inference
• Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs
• Experience with social network or user-generated content platforms where community-level dynamics create non-trivial experimentation challenges

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-REMOTE

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit’s experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis.

Responsibilities:

• Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment
• Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation
• Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches
• Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates
• Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous
• Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams
• Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership
• Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor
• Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community

Required Qualifications:

• Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise
• For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation-focused roles
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles
• Deep expertise in causal inference, including practical experience with challenges such as network interference / spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods
• Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections
• Experience with experimentation platforms at scale (e.g., building or significantly extending an internal experimentation platform)
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
• Track record of designing and analyzing experiments at scale in complex or networked environments
• Demonstrated ability to influence product and organizational strategy through experimentation insights
• Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way
• Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior stakeholders
• Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning
• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications:

• Published research or industry contributions in areas such as interference in experiments, network experimentation, or marketplace causal inference
• Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs
• Experience with social network or user-generated content platforms where community-level dynamics create non-trivial experimentation challenges

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-REMOTE

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$232,500—$325,500 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple.

The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf.

What you’ll do at Jamf:

The Senior BI Analytics Engineer is a core technical role in Jamf’s data organisation. You’ll own the design and delivery of trusted data models across the Jamf Data Platform, from source-aligned staging layers through to the business-facing marts and semantic views that power BI, financial reporting, and product analytics. This is an end-to-end role: you think in systems, not just queries.

You’ll bridge the gap between raw data from backend services and the decisions Jamf needs to make faster, working closely with data engineers, analysts, data scientists, and business stakeholders to ensure data is accurate, well-defined, and genuinely useful. As AI-powered analytics becomes central to how Jamf operates, you’ll also play a key role in building the semantic foundation that enables natural language querying through tools like Snowflake Cortex Analyst. You’ll raise the bar on data quality, drive best practices across the discipline, and help make the Jamf Data Platform a genuine competitive asset.

You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. We are only able to accept applications for those based in one of these locations.

What you can expect to do in this role:

• Design and build robust downstream data models using the Trusted Data Development workflow, covering range of analytics and integration use cases.
• Design and maintain Snowflake semantic views with rich metadata annotation, business definitions, entity relationships, and column-level descriptions, enabling reliable AI-driven and natural language querying via tools such as Snowflake Cortex Analyst.
• Partner with Data Platform and AI Architecture teams to build solutions that bridge structured analytics with natural language interfaces, making Snowflake data reliably queryable by AI agents and business users.
• Set and uphold engineering standards writing maintainable, high-scale SQL and dbt code, leading code reviews, and acting as the code owner and BI reviewer for specific schemas.
• Champion data quality and trusted data models implementing testing frameworks, driving data profiling, and partnering cross-functionally to resolve quality issues at their source.
• Own one or more business stakeholder relationships, translating requirements into well-integrated data designs and ensuring raw data is accurately interpreted across business units, drawing on depth in at least two major data domains such as marketing, sales, finance product, or engineering.
• Drive Data Platform optimisation identifying opportunities to reduce cost and complexity, contributing to the Data Catalog, and leading prioritisation of data governance issues.
• Upskill analysts and business partners through code pairing, training, and documentation scaling data acumen and enabling self-service analytics across the organisation.
• Lead multiple analytics projects from beginning to operationalization
• #LIRemote

What we are looking for:

• Minimum of 6 years in Data as an Analyst, Engineer, Scientist, or equivalent (Required)
• Minimum of 2 years managing the same data model system over time, extending it to satisfy multiple general business use case. (Required)
• Minimum of 4 years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment (Required)
• Minimum of 3 years building and maintaining data models using dbt, with demonstrable experience across modelling layers, testing, and documentation (Required)
• Experience developing semantic views or semantic layer data models designed for LLM or AI integrations, including metadata standards, business glossaries, and column-level descriptions that support reliable AI-driven querying, using tools such as Snowflake Cortex Analyst, dbt Semantic Layer, or equivalent (Required)
• Experience building data solutions that support NLP-based querying, such as Text-to-SQL pipelines or conversational analytics interfaces that operate over structured data (Required)
• Experienced in Scrum or Kanban (Preferred)
• General knowledge of Apple products and SaaS business models (Preferred)
• Ability to communicate complex ideas simply and convincingly
• Ability to listen to stakeholder needs and finds way to deliver well integrated solutions that serve specific needs.
• Significant hands-on experience is the primary requirement for this role. A Bachelor’s Degree in Science, Technology, Engineering, Mathematics, or a related field is one route, but equivalent experience will be considered
• A combination of relevant experience and education may be considered

SECURITY AND PRIVACY REQUIREMENTS

• Participation in ongoing security training is mandatory
• Established security protocols will be adhered to, sensitive data will be handled responsibly, and data protection practices are followed, including understanding relevant privacy regulations and reporting breaches
• Acknowledging the Jamf Code of Conduct, where applicable security and privacy policies can be found, is a requirement of all roles at Jamf

How we help you reach your best potential:

• Named a 2025 Best Companies to Work For by U.S. News
• Named a 2024 Best Technology Company to Work For by U.S. News
• Named one of Forbes Most Trusted Companies in 2024
• Named a 2024 Best Companies to Work For by U.S. News
• Our developers work in agile delivery teams to produce new features, improve software components, and are the subject matter experts for our Jamf product offerings.
• You will have the opportunity to make a real and meaningful impact for more than 75,000 global customers with the best Apple device management solution in the world.
• We constantly push the boundaries of technology, our developers support new innovations and OS releases the moment they are made available by Apple.
• Several Jamf engineers are named in patents and with team names like CatDog, ThunderSnow and Dalek you can expect to have some fun while building cutting-edge software.
• You will have the opportunity to work with a small and empowered team where the culture is based on trust, ownership, and respect.
• We offer a clear career path that enables you to grow under supportive leadership and management
• Visit our Jamf Engineering blog to learn more about the innovative projects our team is working on and what we learn from each challenge we solve. A blog written by engineers, for engineers at medium.com/jamf-engineering
• 22 of 25 world’s most valuable brands rely on Jamf to do their best work (as ranked by Forbes).
• Over 100,000 Jamf Nation users, the largest online IT community in the world.

Pay Transparency

At Jamf, base pay is one part of our total compensation package and is set within a defined range. These ranges can vary based on hiring location. Where an individual’s pay falls within that range depends on several factors, including role scope, location, budget, skills, experience, and qualifications. This approach helps ensure fair, competitive pay and provides room to grow as you develop in your role.

Pay Transparency Range

$103,100—$186,780 USD

What it means to be a Jamf? We are a team of free-thinkers, can-doers, and problem-crushers. We value humility and the relentless pursuit of knowledge. Our culture flows from a spirit of selflessness and relentless self-improvement - driving both personal growth and collective progress throughout our company. We unite around common goals while respecting personal approaches, believing that fulfilled individuals create a thriving, vibrant workplace.

Our aim is simple: hire exceptionally good people who are incredibly good at what they do and let them do it. We provide the support and resources to let everyone be their authentic, best selves at work, at rest, and at play. We are committed to supporting the continual improvement of Apple in the workplace, the organizations that rely on them and the people who keep it all running smoothly.

Above it all, waves our banner of #OneJamf – and the knowledge that when we stand together, we accomplish so much more than we could alone. We seek individuals who share this unwavering journey toward growth to join us in our quest for constant improvement.

What does Jamf do? Jamf extends the legendary Apple experience people enjoy in their personal lives to the workplace. We believe the experience of using a device at work or school should feel the same, and be as secure as, using a personal device. With Jamf, customers are able to confidently automate Mac, iPad, iPhone and Apple TV deployment, management, and security – anytime, anywhere – to protect the data and applications used by employees in the workplace, students learning in the classroom, and streamline communications in healthcare between patients and providers. More than 2,500 Jamf strong worldwide, we are free-thinkers, can-doers, and problems crushers who are encouraged to bring their whole selves to work each and every day.

Get social with us and follow the conversation at #OneJamf

Jamf is committed to creating an inclusive & supportive work environment for all candidates and employees. Candidates with disabilities or religious beliefs are encouraged to reach out if they need additional support or alternative options to our recruiting processes to accommodate their disability or religious belief. If you need an accommodation, please contact your Recruiter or Recruiting Coordinator directly. Requests for accommodation will be handled confidentially by Recruiting and will not be shared with the hiring manager. Jamf is an equal opportunity employer and does not discriminate against individuals who request reasonable accommodation for disability or religious beliefs. To request accommodations please email us at recruiting@jamf.com

Description

Job title: Data & GIS Analyst

Location: Bogotá, Colombia

Contract: Permanent, local and full-time

Starting date: ASAP (July 1, 2026)

PUR Description

PUR is a global, impact-focused B-Corp specializing in the development of environmental restoration projects, known as ‘nature-based solutions’ (NbS). Since 2008, we have been helping the world’s largest organizations meet their ESG targets, reduce their environmental footprint, and regenerate the ecosystems they depend on across complex supply chains. Having developed over 45 projects in more than 30 countries, PUR is recognized as both a pioneer and leader in a sector that is now at the forefront of global efforts to address the ongoing climate and biodiversity crisis.

At the heart of our mission is a commitment to fostering and operationalizing insetting strategies—interventions by companies within their own value chains designed to reduce GHG emissions while creating positive impacts for communities, landscapes, and ecosystems. By championing this insetting approach, we aim to create a holistic range of benefits that extend beyond ecological restoration, encompassing social and economic dimensions through enhanced agricultural yields and resilience to climate change-induced stresses, among others.

One of the distinctive features of our work is our ability to tailor projects to the specific needs of different regions and communities. By recognizing the unique characteristics of each ecosystem and the cultural context of the communities involved, we ensure our initiatives are contextually relevant and have a meaningful and sustainable impact. All our projects are developed in close collaboration with local actors, including cooperatives, NGOs, governments, and corporations. Today, we employ 200 staff across 16 countries with key offices in Paris (HQ) and Toronto.

About the role

The GIS & Data Analyst plays a key role in supporting both operational data systems and geospatial analyses across regional projects. This hybrid position combines data analysis and operational data support responsibilities (approximately 80% of the role) with GIS and geospatial analysis functions (approximately 20% of the role). The position collaborates closely with Operational teams, Technicians, and the Central Data Team, including Geospatial Analysts and Data Engineers, to ensure data quality, workflow efficiency, and accurate spatial representation of field activities.

On the data analysis side, the GIS & Data Analyst helps ensure a smooth and reliable data collection experience for Operational teams and Technicians. The role is responsible for coding and maintaining data collection forms, troubleshooting occasional issues in the data pipeline, and serving as the first line of support for local teams when data-related bugs or inconsistencies arise. Additionally, the analyst identifies operational trends and local behaviors through data analysis, generating insights that can be studied, standardized, and potentially scaled across regions to improve operational efficiency and decision-making.

On the GIS side, the GIS & Data Analyst supports the organization’s geospatial data infrastructure, analyses, and workflows, contributing to Nature-Based Solutions (NBS) and Technology-Based Solutions (TBS) initiatives, including carbon certification processes. The role assists in the preparation of maps, spatial analyses, and geospatial visualizations that support internal teams, executive reporting, and external stakeholders such as carbon rating agencies, verifiers, and auditors. Working alongside the Central Data Team, the analyst helps ensure that geospatial datasets accurately reflect field realities and are properly integrated into broader organizational systems and reporting frameworks.

This role requires a strong combination of analytical thinking, technical problem-solving, data management, and geospatial analysis skill

Your responsibilities will be, but not limited to:

On the Data side you will:

• Code data collection forms (frequent) and dashboards (occasionally) to help with decision-making.

• Train our Pur Ops team and the field technicians and partner on how to use our tools and how to better collect the information.

• Do exploratory/causal analysis of the data we collect to find correlations and trends and transform them into methodologies

• Provide insights into planting and project effectiveness and create visualizations for the data.

• Gather secondary data (e.g. : on geospatial details, land use, crops types, yields etc) that might be relevant for the exploratory analysis.

• Advocate for the Data Department in your region while also communicating to Central Data good insight, local regulations and datasets so it can be integrated into the global data platform.

• Suggest recommendations to improve field data collection and overall data quality based on analytical insights and investigation, as well as technician and producer feedback.

• Communicate with Data Team members in other regions proactively to find common needs between regions and synergies.

On the GIS side you will:

• Analyzing land use change, eligibility and baseline, supporting inventories design and producing maps, as well as ensuring Geospatial Database quality for carbon certifications

• Producing maps and visualizations for the Project team and farmers to better follow up the projects, analyzing distances to better understand performance and increase efficiencies.

• Conducting studies using the baseline the Central Data Team provides, including supporting the Feasibility team with analysis to guide site selection and decision making.

• Writing reports on geospatial analysis findings, including but not limited to Force Majeure reports.

• Complementing the Central Data Team methodology and data library at PUR with datasets and cases from your own region. Producing documentation on the analyses performed.

• Manipulation of vector data.

• Conducting / organizing / supporting any Remote Sensing activities that need to be done on a regional level.

• Conducting pilots inside the Data Teams framework.

• Generally supporting the Projects team in understanding their data and how to strengthen their operations

Requirements

We are looking for a candidate with:

• Degree in computer science, geography, environmental engineering, or related fields.

• A minimum of 2 years of experience in a Data Analyst or GIS Analyst.

• Working knowledge of SQL and Python – working with Jupyter Notebooks is a nice-to-have.

• Working knowledge of Data Visualization (if you have a repository or portfolio, please include the link in your application)

• Working knowledge of geospatial / mapping software tools (e.g. QGIS, Google Earth Engine).

• Knowledge of causal analysis is a differentiator and is a nice-to-have.

• Experience with Digital Products is a nice-to-have.

• Capacity to communicate with both technical and non-technical teams with ease, both in written and verbally.

• Understanding of data governance and best practices.

• Some experience in Sustainability or Impact (or at least a strong interest),

• Fluent in English. French is a differential.

• This is a hybrid position based in Bogota

Company Description

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 11 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.

We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.

Job Description

The Product Maintenance division is dedicated to delivering excellence and reliability in our live products to maximize client satisfaction and solidify long-term strategic partnerships. We are currently looking for an expert in the banking business, particularly in International Payments and bank cash operations, to join our team and build expertise in Manila for business components under the area of ACP.

As a business expert in the team, you will ensure the features of the products we support are aligned to Avaloq’s market and client needs as well as what we offer as standard solution. Your responsibilities include:

1. Reviewing and analyzing incoming issues, identifying root causes and expected behavior.
2. Collaborating with Product Owners, Business Analysts, and Technical Leads to align with client expectations on functional and non-functional requirements.
3. Ensuring quality through end-to-end testing of code changes, and close collaboration with engineers during unit testing.
4. Driving continuous improvement by linking recurring issues to product documentation and roadmap enhancements, and providing feedback on stakeholder needs to Product evolution teams.

Qualifications

You will need the following to succeed in the role:

1. Proven experience in Banking/Payment Industry around solutions involving outgoing and incoming payments, standing orders and direct debit mandates, cash and card transactions, and cheque processing, involving SWIFT, SEPA, BACS, EBICS, SIC / euroSIC, and other international payment schemes / bureaus / standards
2. Practical knowledge handling client tickets such as problems, incidents, change requests, and inquiries
3. Ability to organize multiple complex tasks and prioritize efficiently for both you and your team
4. Strong business acumen with a strategic mindset and entrepreneurial drive
5. Excellent English communication skills, including negotiation, presentation, collaboration, and team spirit

It would be a bonus if you have:

1. Avaloq Core Platform knowledge
2. Compliance, regulatory reporting, and other payment regulations such as PSD2, Instant payment experience
3. Business know-how around Money market, Securities trading, Global and ex custody, Lending and credit management, or other banking operations

Additional Information

We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.

In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.

We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way.

Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

#LI-Hybrid

About StarCompliance

StarCompliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency.

Role

We are seeking a Data & Analytics Engineer to join our existing Data team, helping bridge the gap between data engineering, analytics engineering, and business intelligence. This hybrid role is ideal for someone who is equally comfortable building scalable data platforms and pipelines as they are designing semantic models and insightful dashboards for end users.

You will play a key role in enhancing our external Data Analytics platform, delivering high-quality data products, dashboards, and analytics capabilities to thousands of users across hundreds of clients globally. You will be responsible for ensuring data is accurate, scalable, well-structured, and ready for consumption within Snowflake, while also delivering intuitive visualizations that support customer and internal decision-making.

Our platform utilises a modern cloud-based tech stack featuring Microsoft Azure, Snowflake, and ThoughtSpot, alongside in-house data ingestion and automation tooling. The team embraces modern engineering practices, CI/CD pipelines, Agile methodologies, and emerging AI-assisted development tooling.

We are looking for individuals who challenge ideas respectfully in pursuit of better outcomes. You should be passionate about data, take pride in your work, and proactively drive tasks forward while balancing technical excellence with customer impact.

Responsibilities

• Design, build, and maintain scalable, efficient, and fault-tolerant data pipelines and products using Azure and Snowflake technologies
• Design and maintain dimensional data models and semantic layers for downstream analytics and reporting
• Develop and maintain embedded analytics dashboards and reporting solutions using ThoughtSpot and related BI technologies
• Write efficient, performant, and optimized SQL queries to support analytics and operational reporting requirements
• Collaborate closely with stakeholders, customers, engineers, and product teams to gather requirements and translate them into data solutions and dashboards
• Ensure data platforms, dashboards, and reporting solutions are secure, monitored, scalable, and performant
• Investigate and resolve data quality, pipeline, and reporting issues across the analytics platform
• Contribute to code reviews, engineering best practices, and continual improvements across the data platform
• Contribute to data governance, observability, and quality initiatives
• Run technical spikes and proof-of-concepts for emerging technologies and share findings with the wider team
• Support CI/CD processes, deployment pipelines, and Git-based development workflows
• Participate actively in Agile ceremonies, backlog refinement, estimations, and technical debt management
• Act as a bridge between technical teams and business stakeholders, clearly communicating technical concepts to non-technical audiences

Mandatory Skills, Knowledge or Experience

• Experience in data engineering and/or analytics engineering within fast-paced, large-scale production environments
• Strong proficiency in SQL, including performant query design and relational database concepts
• Experience designing data models using dimensional modelling techniques and star schemas
• Experience building and maintaining production data pipelines and cloud-based data platforms
• Experience with Snowflake and Microsoft Azure technologies
• Proven experience developing dashboards and reports using ThoughtSpot, Power BI, or similar BI platforms
• Familiarity with ETL/ELT processes, data warehousing concepts, and modern data architecture patterns
• Experience with CI/CD processes, Azure DevOps, Git, and deployment pipelines
• Experience with scripting or programming languages such as Python, PowerShell, or C#
• Familiarity with harnessing AI-assisted tooling to deliver faster, higher-quality data services (e.g. Cursor, Claude)
• Strong communication, collaboration, and problem-solving skills
• Comfortable working within Agile development environments

Desirable Skills

• Experience with SnowSQL and advanced Snowflake capabilities
• Experience deploying data products or analytics solutions to external customers
• Experience within the financial services industry
• Knowledge of data governance, data quality, observability, and data security principles
• Experience with tools such as Mend and SonarQube
• Azure, Snowflake, ThoughtSpot, or Power BI certifications
• Experience working with embedded analytics products and customer-facing reporting platforms

StarCompliance Background Checks

All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information.  To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks.

Equal Opportunity Employer Statement

We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, gender identity or expression, marital/civil union/domestic partnership status, veteran status or any other protected characteristic as outlined by country, state, or local laws.

This policy applies to all employment practices within our organisation, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. StarCompliance makes hiring decisions based solely on qualifications, merit, and business needs at the time. For more information, please request a copy of our Equal Opportunities Policy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are looking for a Senior Business Analyst to be the analytical backbone of Bolt Ads — one of the fastest-growing functions in the company, scaling advertising revenue across multiple markets!

About us

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it’s all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, color, religion, gender identity, sexual orientation, national origin, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

About the role

Bolt Ads operates across two verticals, Merchant Ads and Brand Ads, and every strategic decision, from country prioritisation to pricing models, depends on rigorous analysis that turns commercial ambiguity into clear action. You won’t just produce insights; you’ll drive the decisions and execution that follow. This means owning revenue forecasting, setting targets across markets, identifying opportunities before anyone asks, and being the go-to analytical partner for commercial and technical stakeholders alike.

Main tasks and responsibilities:

• Own the monetisation analytics function — build and evolve KPI frameworks, dashboards, and analytical infrastructure used to drive revenue decisions across markets
• Build and maintain revenue forecast models, own target-setting across markets, and track forecast accuracy versus plan
• Act as a trusted analytical partner to Account Managers, General Managers, Product Managers, and Engineering, translating business questions into structured analysis and findings into commercial action
• Structure and solve ambiguous commercial problems: decompose questions like “why is advertising adoption plateauing in this market?” into hypotheses, run the analysis, and deliver recommendations with a clear “so what”
• Proactively surface revenue opportunities, underperforming segments, untapped markets, pricing inefficiencies, adoption gaps, and work with commercial teams to capture them
• Build scalable, self-serve reporting and partner with data engineering to automate manual workflows, freeing capacity for higher-impact analytical work

About you:

• 5+ years in analytics, BI, or commercial analytics in a marketplace, e-commerce, digital advertising, or data-intensive business

• Advanced SQL, CTEs, window functions, multi-table joins, cohort analysis; SQL is your primary tool for answering business questions

• Advanced SQL, CTEs, window functions, multi-table joins, cohort analysis; SQL is your primary tool for answering business questions
• Experience building forecast models and the ability to explain why you chose one approach over another
• Strong analytical problem structuring, you decompose ambiguous questions into driver trees, form hypotheses, and know which data to pull before writing a single query
• Clear, proactive communicator, you lead with the “so what,” bring findings to stakeholders unprompted, and are comfortable presenting to senior leadership
• Experience with data visualisation tools (Looker, Tableau, Metabase, or similar)
• Proactive ownership mindset, you drive solutions end-to-end, from analysis through to execution
• Fluent in English
• Nice to have: Experience in advertising, ad tech, or monetisation analytics, CPC, ROAS, auction dynamics, merchant adoption funnels

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

Why you’ll love it here:

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

* Some perks may differ depending on your location.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

#LI-Hybrid

We are looking for a Senior Business Analyst to be the analytical backbone of Bolt Ads — one of the fastest-growing functions in the company, scaling advertising revenue across multiple markets!

About us

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it’s all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, color, religion, gender identity, sexual orientation, national origin, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

About the role

Bolt Ads operates across two verticals, Merchant Ads and Brand Ads, and every strategic decision, from country prioritisation to pricing models, depends on rigorous analysis that turns commercial ambiguity into clear action. You won’t just produce insights; you’ll drive the decisions and execution that follow. This means owning revenue forecasting, setting targets across markets, identifying opportunities before anyone asks, and being the go-to analytical partner for commercial and technical stakeholders alike.

Main tasks and responsibilities:

• Own the monetisation analytics function — build and evolve KPI frameworks, dashboards, and analytical infrastructure used to drive revenue decisions across markets
• Build and maintain revenue forecast models, own target-setting across markets, and track forecast accuracy versus plan
• Act as a trusted analytical partner to Account Managers, General Managers, Product Managers, and Engineering, translating business questions into structured analysis and findings into commercial action
• Structure and solve ambiguous commercial problems: decompose questions like “why is advertising adoption plateauing in this market?” into hypotheses, run the analysis, and deliver recommendations with a clear “so what”
• Proactively surface revenue opportunities, underperforming segments, untapped markets, pricing inefficiencies, adoption gaps, and work with commercial teams to capture them
• Build scalable, self-serve reporting and partner with data engineering to automate manual workflows, freeing capacity for higher-impact analytical work

About you:

• 5+ years in analytics, BI, or commercial analytics in a marketplace, e-commerce, digital advertising, or data-intensive business

• Advanced SQL, CTEs, window functions, multi-table joins, cohort analysis; SQL is your primary tool for answering business questions

• Advanced SQL, CTEs, window functions, multi-table joins, cohort analysis; SQL is your primary tool for answering business questions
• Experience building forecast models and the ability to explain why you chose one approach over another
• Strong analytical problem structuring, you decompose ambiguous questions into driver trees, form hypotheses, and know which data to pull before writing a single query
• Clear, proactive communicator, you lead with the “so what,” bring findings to stakeholders unprompted, and are comfortable presenting to senior leadership
• Experience with data visualisation tools (Looker, Tableau, Metabase, or similar)
• Proactive ownership mindset, you drive solutions end-to-end, from analysis through to execution
• Fluent in English
• Nice to have: Experience in advertising, ad tech, or monetisation analytics, CPC, ROAS, auction dynamics, merchant adoption funnels

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

Why you’ll love it here:

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

* Some perks may differ depending on your location.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!

#LI-Hybrid

About the Role

TailorCare is a value-based musculoskeletal (MSK) care platform combining clinical expertise, digital tools, and a yield-based operating model. We are now operationalizing Operating Model 3.0, a shift from uniform delivery to yield-based alignment, in which every patient receives investment proportional to a real-time Yield Score (Probability × Value × Addressability), and an ROI Gate continuously calibrates Wallet (financial investment) and Muscle (operational intensity).

This requires a data and AI platform that ingests, resolves, scores, decides, and acts in minutes, with the explainability and governance healthcare demands. You will lead that build: set the strategy, design the data platform, drive vendor decisions, and partner with engineering, product, clinical, and operations leadership to deliver it. This is a hybrid strategy-and-architecture role; you will move comfortably from a CTO whiteboard conversation to an EDI 837 parser to a model-evaluation review without losing the thread.

Primary Responsibilities

• Set strategy. Own the multi-year data strategy supporting Operating Model optimization and TailorCare’s extension beyond MSK; frame tradeoffs for the executive team; protect strategic data moats (canonical patient and provider graphs, proprietary outcome labels, and contribute to yield-calibrated decisioning IP)
• Architect the platform end-to-end. Ingestion, event bus, identity resolution, lakehouse, feature store, ROI Gate decisioning, action orchestration, observability. Define the event taxonomy, schema registry, and data contracts that govern how every source flows in
• Lead vendor strategy. Evaluate and select across clearinghouses, clinical networks, claims systems, provider intelligence, conversational AI, CDPs, and more, negotiating export rights, schema stability, and contribute to defining BAA scope. Build payer-neutral patterns from day one
• Set the bar for HIPAA, PHI, and AI governance. Classification at ingestion, field-level access controls, infrastructure-level scrubbing, vendor data governance, training-data lineage, and consent chains.
• Partner across functions. Translate architecture into staffed delivery with each engineering team; collaborate with clinical leadership on Patient Reported Outcome, extraction accuracy, and outcome labels; work with operations to make the intake and data aggregation meaningful.
• Other duties as assigned

Qualifications

• 10+ years working with healthcare data, including 4+ years in architecture or strategy leadership
• Deep hands-on knowledge of healthcare data: X12 EDI (270/271/276/277/278/834/835/837), FHIR R4, HL7 v2 (especially ADT), CCD/C-CDA, NCPDP, and the realities of integrating with payers, EHRs, clearinghouses, and HIEs
• Experience working with AI team developing predictive models and ability to act as the liaison between AI modeling and data platform.
• Proven track record designing production data platforms at scale, streaming and batch, with managed Kafka or equivalent, lakehouse architectures (Snowflake / Databricks / BigQuery), dbt-style orchestration, modern observability
• Solid grounding in ML/AI systems: feature stores, point-in-time correctness, model lifecycle, NLP for clinical text. You evaluate model proposals on their merits
• Direct experience with patient identity resolution (deterministic + probabilistic) and tokenization (Datavant or equivalent)
• Working knowledge of value-based care economics: MLR, attribution, episode costing, risk adjustment, and how reimbursement models shape data requirements
• Demonstrated executive presence: framing tradeoffs, defending recommendations, adjusting when wrong, staying technically credible
• HIPAA-fluent. You engineer PHI minimization, BAA structures, and audit requirements as first-class concerns
• Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events.

Preferred Qualifications

• Hands-on experience with at least one major longitudinal claims dataset (Komodo, Truveta, HealthVerity, Optum, IQVIA) and integration
• Highly collaborative and experienced with a broad range of business holders
• Experience integrating clinical data networks
• Experience with conversational AI in a contact-center context (Cresta, Observe.AI, or built in-house)
• Multi-payer scale experience
• Early-stage / scaling startup background, comfort with ambiguity and the ability to make calls without perfect information

What you will deliver in year one

• Be a key leader in driving build vs. buy data acquisition decisions
• Canonical patient master service in production; ≥95% deterministic match rate, documented probabilistic strategy
• Real-time event bus with ≥10 production event types, SLO dashboards, and downstream consumers live
• Real-time ADT, eligibility (270⁄271) and prior-auth (278) integrations live with sub-second response
• Salesforce (TailorCare-captured) clinical operational data fully instrumented
• Clinical data network integration (Health Gorilla or Particle) with NLP extraction on radiology and specialist notes
• ROI Gate v1 deployed, routing ≥80% of newly-identified patients; closed-loop attribution from marketing to outcome operational

What’s In It For You

• Meaningful Work: We are dedicated to our mission and deeply value our patients and each other. Each day offers the opportunity to make a positive impact.
• Work Environment: We operate as a remote-first company with options for a hybrid work model in Nashville.
• Time Off: Our generous paid time off (PTO) and holiday plans ensure you have ample time to rest and recharge.
• Family First: We offer paid parental leave and support a healthy work-life balance, encouraging flexibility and autonomy. We love talking about our family and pets!
• Comprehensive Benefits: From Day 1, employees enjoy medical, dental, vision, life, and disability insurance, wellness resources and an employer HSA contribution.
• Fair Compensation: We are committed to equitable pay for all team members and support your future goals with a 401k plan that includes employer matching.
• Community: We foster an inclusive environment where you can rely on your teammates, share honest feedback, and feel comfortable being your authentic self at work each day.

TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit’s relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of “relevance” spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds and Search ML teams to tackle the most complex ranking, recommendation, and retrieval challenges across Consumer. You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product strategy through rigorous analysis and experimentation.

Responsibilities

• Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment
• Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction
• Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities, interference between contributors and consumers, and long-run impacts of ranking changes on content supply
• Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly around content quality, search intent understanding, and personalization effectiveness
• Partner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact
• Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives into clear, actionable recommendations for senior leadership
• Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor
• Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader relevance, recommendation systems, and experimentation community

Required Qualifications

• Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranking, causal inference, or evaluation methodology; or M.S. with equivalent depth of expertise
• For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles
• Deep expertise in metrics design and evaluation for ranking and recommendation systems, including offline metrics and counterfactual evaluation
• Strong understanding of causal inference and experimentation methodology, including practical experience with challenges relevant to ranking systems such as novelty effects, position bias, long-run effect estimation, and ecosystem-level impacts
• Experience defining and validating quality metrics for content ranking, search, or recommendations at scale
• Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, and sequential testing as applied to relevance experiments
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
• Demonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience
• Excellent communication skills with the ability to explain nuanced statistical and ML concepts and tradeoffs to both technical and non-technical senior stakeholders
• Experience mentoring data scientists and building organizational capability in relevance evaluation and experimentation
• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications

• Published research or industry contributions in areas recommendation systems or causal inference for ranking
• Experience with social network or user-generated content platforms where community-level dynamics create non-trivial relevance and experimentation challenges

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-REMOTE

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$232,500—$325,500 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit’s experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis.

Responsibilities:

• Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment
• Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation
• Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches
• Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates
• Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous
• Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams
• Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership
• Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor
• Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community

Required Qualifications:

• Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise
• For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation-focused roles
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles
• Deep expertise in causal inference, including practical experience with challenges such as network interference / spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods
• Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections
• Experience with experimentation platforms at scale (e.g., building or significantly extending an internal experimentation platform)
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
• Track record of designing and analyzing experiments at scale in complex or networked environments
• Demonstrated ability to influence product and organizational strategy through experimentation insights
• Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way
• Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior stakeholders
• Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning
• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications:

• Published research or industry contributions in areas such as interference in experiments, network experimentation, or marketplace causal inference
• Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs
• Experience with social network or user-generated content platforms where community-level dynamics create non-trivial experimentation challenges

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-REMOTE

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.

Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes.

Reddit’s experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization.

As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis.

Responsibilities:

• Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment
• Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation
• Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches
• Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates
• Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous
• Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams
• Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership
• Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor
• Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community

Required Qualifications:

• Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise
• For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation-focused roles
• For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles
• Deep expertise in causal inference, including practical experience with challenges such as network interference / spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods
• Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections
• Experience with experimentation platforms at scale (e.g., building or significantly extending an internal experimentation platform)
• Expert knowledge of SQL and proficiency in R and/or Python for statistical computing
• Track record of designing and analyzing experiments at scale in complex or networked environments
• Demonstrated ability to influence product and organizational strategy through experimentation insights
• Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way
• Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior stakeholders
• Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning
• Comfortable in innovative and fast-paced environments with a bias toward action

Preferred Qualifications:

• Published research or industry contributions in areas such as interference in experiments, network experimentation, or marketplace causal inference
• Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs
• Experience with social network or user-generated content platforms where community-level dynamics create non-trivial experimentation challenges

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-REMOTE

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$232,500—$325,500 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Job Title: Data Analyst

Location: Remote

About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.

The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.

What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes

What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams

Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being

If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Job Title: Data Analyst

Location: Remote

About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.

The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.

What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes

What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams

Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being

If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Job Title: Data Analyst

Location: Remote

About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.

The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.

What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes

What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams

Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being

If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Job Title: Data Analyst

Location: Remote

About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.

The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.

What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes

What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams

Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being

If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

Job Title: Data Analyst

Location: Remote

About Us:

At Diptyque Paris, we believe that behind every number and dataset lies a story—one that can inspire smarter decisions and drive meaningful change. We’re passionate about turning complex data into clear insights that help our team and clients succeed.

The Role:

We’re looking for someone who loves digging into data, uncovering patterns, and translating numbers into stories that everyone can understand. As a Data Analyst, you’ll be a vital part of our team, helping us make informed decisions that shape our future.

What You'll Do:

- Dive into our data to find trends, opportunities, and areas for improvement

- Collaborate with different teams to understand their needs and provide relevant insights

- Develop reports and dashboards that make complex information easy to grasp

- Ensure data quality and integrity through careful analysis and validation

- Present your findings in a way that’s engaging and accessible to all levels of the organization

- Continuously look for ways to improve our data collection and analysis processes

What We’re Looking For:

- A curious mind with a knack for problem-solving

- Strong skills in Excel, SQL, or other data analysis tools

- Experience with data visualization platforms like Tableau, Power BI, or similar

- Excellent communication skills—you can tell a story with data

- An eye for detail and a passion for accuracy

- A collaborative spirit who enjoys working with diverse teams

Why Join Us:

- Be part of a supportive and innovative environment

- Make a real impact with your work

- Grow your skills with ongoing learning opportunities

- Enjoy a flexible work environment that values your well-being

If you’re excited about turning data into insights and making a difference, we’d love to hear from you. Join us and help shape the future with your skills and curiosity!

About Us:YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like...